Ming-Jui Wu
Papers
2
Total Citations
11
H-Index
2
About
Ming-Jui Wu is a leading researcher at the intersection of robotics, medical imaging, and nephrology, specializing in the automated assessment of arteriovenous fistulas (AVFs) for hemodialysis patients. His work addresses a critical clinical need: the efficient, non-invasive detection of AVF stenosis, which directly impacts dialysis efficacy and patient survival. Wu’s major contributions include pioneering the integration of robotic ultrasound systems with adaptive force control and RGB-D sensing, enabling real-time, automated fistula evaluation. His 2018 paper, “Development of an AVF Stenosis Assessment Tool for Hemodialysis Patients Using Robotic Ultrasound System,” established foundational methods for robotic-assisted vascular access monitoring, earning 9 citations. Building on this, his 2024 study, “Combining RGB-D Sensing With Adaptive Force Control in a Robotic Ultrasound System for Automated Real-Time Fistula Stenosis Evaluation,” introduces advanced sensor fusion and force regulation to enhance imaging accuracy and patient safety. Though early in citation impact, this work represents a significant leap toward reducing clinician workload and improving outcomes for the growing hemodialysis population. Wu’s research is notable for its translational potential, directly addressing the challenges of an aging society and the rising prevalence of end-stage renal disease.
Research Focus
Key Achievements
Top Papers
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